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All Journal Ensiklopedia of Journal Berita Kedokteran Masyarakat
Rahmadina, Frisca
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Arts Humanities Computer Science & IT Law, Crime, Criminology & Criminal Justice Nursing Public Health Social Sciences

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MANAJEMEN LIMBAH B3 MEDIS DI RUMAH SAKIT RUJUKAN COVID-19 DI YOGYAKARTA SELAMA PANDEMI Rahmadina, Frisca; Nababan, Rohani Angelia; Pranowo, Deni
Ensiklopedia of Journal Vol 7, No 1 (2024): Vol. 7 No. 1 Edisi 3 Oktober 2024
Publisher : Lembaga Penelitian dan Penerbitan Hasil Penelitian Ensiklopedia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33559/eoj.v7i1.2758

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Abstract: The inadequate management of medical waste could have significant repercussions on the environment and public health. This study sought to assess the medical waste management procedures implemented in Yogyakarta's COVID-19 national referral hospitals during the pandemic. This study employed a descriptive research design with a qualitative approach. Data were gathered through interviews, observations, and the analysis of secondary sources. The findings were then juxtaposed with the regulations outlined in the Minister of Environment and Forestry's Regulation Number 56 of 2015 and the Guidelines for Waste Management in Referral Hospitals, Emergency Hospitals, and Health Centers Handling COVID-19 Patients. The research findings revealed that the referral hospitals had experienced a decline in medical waste sorting, storage, and transportation practices. Additionally, the incineration process employed an incinerator with the burner set at 1200°C, a procedure exclusively conducted by Hospital Y. The management of medical waste in these hospitals adhered to the relevant guidelines and regulations.Keywords: Medical Waste, Infectious Waste, Waste Management, COVID-19
Utilizing “Google Trends” data to support early detection of epidemic outbreaks: a preliminary study Rahmadina, Frisca; Bintoro, Bagas Suryo; Ramadona, Aditya Lia
BKM Public Health and Community Medicine Vol 41 No 09 (2025)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bkm.v41i09.22594

Abstract

Purpose: This study examined the potential application of Google Trends in supporting early epidemic detection and health campaigns, using the COVID-19 pandemic in Indonesia as a case study. Method: COVID-19 case data from 2020 to 2022 were collected. Search patterns were analyzed using Indonesian keywords for symptoms: “demam”, “sakit kepala”, “pilek”, “bersin”, “sakit tenggorokan”, “perut”, “batuk”, “nafsu makan”, “muntah”, “lesu”, “mual”, and “diare.” The search patterns were then compared to the COVID-19 case data. Results: We observed a pattern alignment between Google Trends and COVID-19 case peaks. Additionally, differences in lag time were identified between search trends and case peaks across SARS-CoV-2 variants. For instance, the peaks of “sakit tenggorokan” and “batuk” searches lagged about one week for Omicron, around two weeks for Delta, and more than two weeks for Alpha. Conclusion: Internet search activity can support early detection of epidemics and inform timely health campaigns. Moreover, search trends might offer a novel approach to estimate disease incubation periods.
Co-Authors Bagas Suryo Bintoro Deni Pranowo Nababan, Rohani Angelia Ramadona, Aditya Lia